TY  - JOUR
T1  - Privacy Preserving and Data Publishing using Tuple Grouping Algorithm
AU - Reddy, G. Prabhakar AU - Prasad, K. Sai AU - Reddy, N. Chandra Shekar AU - Karthik, R. 
JO  - Journal of Engineering and Applied Sciences
VL  - 13
IS  - 4
SP  - 930
EP  - 933
PY  - 2018
DA  - 2001/08/19
SN  - 1816-949x
DO  - jeasci.2018.930.933
UR  - https://makhillpublications.co/view-article.php?doi=jeasci.2018.930.933
KW  - Bucketization
KW  -generalization
KW  -slicing
KW  -tuple grouping
KW  -data privacy
KW  -gender
AB  - The key aspect of privacy protection is information sanitization intent for better data utility. The
information is classified into three type’s, i.e., first identifiers which labels the identity, second quasi-identifiers
the type of disclosure that needs to be focused on identity disclosure. A quasi-identifier refers to a attributes
subsets that can uniquely identify tuples like personal health information consists name, address, gender,
mobile number and third is sensitive attributes like disease, salary must be disclosed form others. Privacy is
a key issue where prospects will be harmed by inappropriate disclosure of few assets.
ER  -